Enhanced On-Off Control for Wind Energy Conversion System Electromagnetic Torque Ripple Minimization based on Whale Optimization Algorithm

An improved On-Off control method for wind energy conversion systems (WECS) that makes use of a Squirrel cage induction generator (SCIG) and the Whale Optimization Algorithm (WOA) is the main focus of this research study. The On-Off control scheme is known for its simplicity and robustness against disturbances and model uncertainties. However, it can lead to the chattering phenomenon, which can be detrimental to the lifespan of the wind turbine. To address this issue, an Enhanced On-Off controller is proposed in this study. The objective is to reduce the electromagnetic torque ripple by tuning the Enhanced Controller with the Whale Optimization Algorithm. Even though the chattering issue was reduced by the proposed controller, it was not totally eliminated. To assess the performance of the proposed controller, a wind profile based on Von Karman spectrum is used. This later is defined by the International Electrotechnical Commission (IEC) standard. The obtained results show that the proposed approach outperforms the improved On-Off controller.